What Is Crypto Trades Data?
Every time a buy order matches a sell order on a cryptocurrency exchange, an executed trade is created.
Unlike OHLCV candles, which summarize market activity over time, trades capture individual market executions. Each trade record contains the execution price, traded size, timestamps, and additional execution details when available.
This makes trades the foundation for applications that require transaction-level market activity. Instead of working with aggregated market summaries, developers can analyze how individual executions occurred across supported exchanges and markets.
Trade data is especially valuable when timing, sequence, and execution behavior matter. It helps reveal short-term price movement, market momentum, liquidity pressure, and whether buying or selling activity is driving the market.
Developers use crypto trades data for tick-by-tick analysis, real-time alerts, VWAP calculations, slippage studies, and high-frequency trading research.
Historical trades are important for backtesting strategies because they show the actual execution tape behind aggregated price movements.
When normalized across exchanges, trades data makes it easier to compare market activity across venues, pairs, and instruments without handling each exchange format separately.